Senior Data Engineer, Predictive Modeling
Core
Architecting scalable data pipelines and productionizing Python code to enable predictive modeling for consumer behavior, credit risk, and inventory optimization in automotive retail.
Role type
Senior IC data engineer (predictive modeling)
Builds
Robust, scalable data pipelines and internal tooling for data science and analytics teams
Domain
Automotive retail / Data engineering & ML infrastructure
Deliverable
production ML models
Required skills
Python, SQL, NoSQL, Cloud platforms (AWS/GCP/Azure), Docker, Kubernetes, CI/CD, ETL/ELT, Data modeling, RESTful services
Preferred skills
AI/ML tooling, agentic workflows, Microservices architecture
Technologies
Python, Flask, numpy, scikit-learn, Jupyter, Snowflake, SQL Server, Apache Spark, DataBricks, Git, Docker, Kubernetes
Responsibilities
Refactor experimental notebooks into production-ready applications; Design and maintain scalable predictive modeling pipelines; Develop internal tooling to accelerate analyst productivity; Support building and deploying RESTful services; Mentor junior engineers on software engineering practices; Design relational and non-relational data models for optimal performance
Seniority
Senior, hands-on IC
